{"id":"W6920445417","doi":"10.6068/dp14ba89c2b4273","title":"Trend 2000 - 2006. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with income by total income, sex and age group | Variable: 75 years and over, Persons with income of $100,000 and over, Both sexes | Units: #, 2000-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Socioeconomic status; Residence; Population statistics; Social statistics; Neighbourhood (mathematics); Economic statistics; Demographic statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002340816,0.002402592,0.002416489,0.006675941,0.003068594,0.00428545,0.005020759,0.001305345,0.1040711],"category_scores_gemma":[0.01746134,0.001664083,0.002044332,0.03117565,0.0005699166,0.002232835,0.002456421,0.003096071,0.05838454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04709395,"about_ca_system_score_gemma":0.1187986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946464,"about_ca_topic_score_gemma":0.9926649,"domain_scores_codex":[0.9968519,0.0002756217,0.0003697281,0.0003843594,0.001435781,0.0006826676],"domain_scores_gemma":[0.9729696,0.0008163943,0.0006036614,0.0007950962,0.02353653,0.001278624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002284327,0.000005617059,0.0007242938,0.0002204748,0.00001925072,0.000006826634,0.00002646373,0.0001480132,0.000008745917,0.0004080086,0.9957466,0.002662958],"study_design_scores_gemma":[0.0001748991,0.00001255105,0.01696964,0.0008694057,0.00006646766,0.00003265931,0.0004320758,0.0008315215,0.0001631063,0.0009579237,0.9793968,0.00009302555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006375607,0.00006801201,0.00006727326,0.0001659272,0.00004816532,0.00002972948,0.9978308,0.0001252675,0.001600926],"genre_scores_gemma":[0.00112034,0.0004137712,0.0009919954,0.0002227737,0.00002297209,0.0002268384,0.9913941,0.0002063257,0.005400906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1040711,"threshold_uncertainty_score":0.3481523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029048479028851,"score_gpt":0.2270244014467366,"score_spread":0.216733916656448,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}